Exploring the potential impact ofintroducing a sailing simulator for thedevelopment of chartplotters

The development of chartplotters for maritime navigation requires comprehensive testing across many environmental conditions to ensure accurate performance. However, developing features related to sailing poses some additional challenges. This thesis explores the potential of introducing a sailboat simulator to enhance the development process of chartplotters. It was conducted together with a partner organization within the recreational maritime industry. The research focuses on three core aspects: the current use of simulation technologies in the development of embedded systems, the minimal requirements for a sailboat simulator, and the potential impact of such a tool on the development process. The study employs a combination of a literature review and semi-structured expert interviews with chartplotter developers to gather insights. The results reveal that the current simulator tools used in the partner organization lack the ability to simulate realistic sailing conditions, leading to significant manual adjustments by developers. Two key features emerged as essential for a practical sailboat simulator: an accurate representation of wind-driven sailing dynamics and integration with the NMEA2000 protocol for seamless interaction with other internal tools, as well as the chartplotters. Although additional features such as scenario scripting and multiple sail configurations were recommended, these two aspects are fundamental to creating a useful sailing simulator. In conclusion, the sailboat simulator has the potential to help improve the development process, reduce dependence on physical tests, and improve general development efficiency.

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the potential impact ofintroducing a sailing simulator for thedevelopment of chartplotters

KTH Publication Database DiVA (KTH Royal Institute of Technology)
demographic modeling and climate adaptation
article

Exploring the potential impact ofintroducing a sailing simulator for thedevelopment of chartplotters

article en

Abstract

The development of chartplotters for maritime navigation requires comprehensive testing across many environmental conditions to ensure accurate performance. However, developing features related to sailing poses some additional challenges. This thesis explores the potential of introducing a sailboat simulator to enhance the development process of chartplotters. It was conducted together with a partner organization within the recreational maritime industry. The research focuses on three core aspects: the current use of simulation technologies in the development of embedded systems, the minimal requirements for a sailboat simulator, and the potential impact of such a tool on the development process. The study employs a combination of a literature review and semi-structured expert interviews with chartplotter developers to gather insights. The results reveal that the current simulator tools used in the partner organization lack the ability to simulate realistic sailing conditions, leading to significant manual adjustments by developers. Two key features emerged as essential for a practical sailboat simulator: an accurate representation of wind-driven sailing dynamics and integration with the NMEA2000 protocol for seamless interaction with other internal tools, as well as the chartplotters. Although additional features such as scenario scripting and multiple sail configurations were recommended, these two aspects are fundamental to creating a useful sailing simulator. In conclusion, the sailboat simulator has the potential to help improve the development process, reduce dependence on physical tests, and improve general development efficiency.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
demographic modeling and climate adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.